SQL relational databases have been the dominant database for more then fivity years.

A relational database is based on F.E. Codd theories to sort data into columns and rows before saving it. This helps in information gathering when using database management systems DBMS. Data is mostly unorganised information that needs sorting then storing in the most efficient way. Many techniques exist like the old file cabinit that did not achieve the success that SQL systems have had. Transactional SQL systems have been dominant universally given that they are extremely safe. Major Banks have been using SQL to manage there data needs for many decades. ACID consistance ensures important transactions are made very fast and very safely. SQL system don't preform best in every sinario. Like when retrieving data directly from the database source. SQL systems have to go through every column and row in the list before retrieving the correct data. So collecting complex queries can become timely and consume a lot of power. New database systems manage to do this much better. As of now 60% of all databases are relational. For the future this number may decrease given that non-relational systems are improving. Now and for the past 60 years SQL has been the dominant technology in the database world.

Mar 31, 2025 - 20:06
 0
SQL relational databases have been the dominant database for more then fivity years.

A relational database is based on F.E. Codd theories to sort data into columns and rows before saving it. This helps in information gathering when using database management systems DBMS. Data is mostly unorganised information that needs sorting then storing in the most efficient way. Many techniques exist like the old file cabinit that did not achieve the success that SQL systems have had.

Transactional SQL systems have been dominant universally given that they are extremely safe. Major Banks have been using SQL to manage there data needs for many decades. ACID consistance ensures important transactions are made very fast and very safely.

SQL system don't preform best in every sinario. Like when retrieving data directly from the database source. SQL systems have to go through every column and row in the list before retrieving the correct data. So collecting complex queries can become timely and consume a lot of power. New database systems manage to do this much better.

As of now 60% of all databases are relational. For the future this number may decrease given that non-relational systems are improving. Now and for the past 60 years SQL has been the dominant technology in the database world.